Data Engineering Lead - Remote

About the Role

Key Responsibilities

• Design and implement data pipelines using Azure Data Factory (ADF) to ingest, transform, and load data from healthcare data sources
• Develop reusable ADF templates and parameterized pipelines for scalable and consistent data integration across multiple healthcare systems
• Implement data quality frameworks to validate and cleanse sensitive healthcare data, ensuring accuracy for downstream analytics and reporting
• Lead a team of data engineers and developers, providing mentorship, code reviews, and architectural guidance
• Oversee the full lifecycle of data engineering projects - from requirements gathering to deployment and monitoring
• Contribute to the CoE's data Management roadmap and long-term vision
• Evaluate and integrate healthcare-specific tools and standards, such as FHIR, HL7, X12, ICD-10, and SNOMED CT, into data pipelines
• Monitor and optimize ADF pipeline performance, using logging, alerts, and cost management tools in Azure
• Automate deployment of data pipelines and Snowflake objects using GitHub
• Maintain comprehensive documentation for data flows, schemas, and compliance controls to support audits and certifications
• Work with vendors, DBAs, data managers, data modelers, and application/system administrators to support and maintain Cloud-based Enterprise Data Warehouses employing leading industry standards and best practices

Requirements

• 10+ years of experience in data engineering, with at least 3+ years in a lead or principal role
• 4+ years of experience with solid SQL skills and experience with Python for data transformation and orchestration
• 3+ years of experience in Azure Data Factory (ADF): building complex, parameterized pipelines, integrating with Azure services
• 3+ years of experience with proficiency in Snowflake: data modeling, performance tuning, Snowpipe, Streams & Tasks, SnowConvert, and security features
• 3+ years of experience with CI/CD pipelines using GitHub Actions
• 3+ years of experience working with healthcare datasets, including claims data, clinical registries, and patient engagement platforms
• Experience with REST APIs and healthcare data APIs for data ingestion and integration
• Proven ability to lead Data Engineering teams, mentor junior engineers, and drive architectural decisions
• Proven solid communication skills to collaborate with technical and non-technical stakeholders

Nice to Have

• Experience in Medicaid/Managed Care/health insurance industry
• Experience in scripting language experience (R, SAS, T-SQL, etc.)
• Deep understanding of healthcare data ecosystems, including EHRs, claims data, and clinical workflows
• Familiarity with A.I. and machine learning
• Familiarity with healthcare data standards: EDI, HL7, X12, FHIR, ICD-10, CPT, and HIPAA compliance

Qualifications

• Educational background is not explicitly specified, but extensive experience in data engineering is required

Benefits & Perks

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Salary range from $110,200 to $188,800 annually
• All benefits are subject to eligibility requirements